Q71 — AWS AIF-C01 Ch.1

Question 71 of 100 | ← Chapter 1

A company wants to use a pre-trained generative AI model to generate marketing content. The company needs to ensure the generated content aligns with its brand voice and messaging requirements. Which solution satisfies these requirements?

• A. Optimize the model’s architecture and hyperparameters to improve overall performance.
• B. Increase the number of layers in the model architecture to enhance complexity.
• C. Create effective prompts that provide clear instructions and context to guide model generation. ✓
• D. Select a large, diverse dataset to pre-train a new generative model.

Correct Answer: C. Create effective prompts that provide clear instructions and context to guide model generation.

Explanation

This question tests effective use of pre-trained generative AI models. Aligning output with brand voice and messaging requires precise control over generation—not architectural changes or retraining. Option A (architecture/hyperparameter tuning) improves general performance but does not guarantee brand alignment. Option B (increasing layers) increases complexity but not fidelity to brand guidelines. Option D (pre-training on new data) is resource-intensive and unnecessary when leveraging existing models. Option C—prompt engineering with clear instructions and context—is the most direct, efficient, and widely adopted method to steer outputs toward brand-specific requirements.